Holds a Bachelor's degree in Applied Mathematics from São Paulo State University Júlio de Mesquita Filho (UNESP), completed between 2016 and 2019 at the São José do Rio Preto campus (IBILCE). In 2020, began a Ph.D. in Mathematics at the same institution, with a research focus on Optimization and Control Theory. Research interests lie in the field of Applied Mathematics, with emphasis on Operations Research and the use of mathematical programming linear, nonlinear, mixed-integer, and dynamic aimed at modeling and optimizing decision-making systems in industrial environments. Additional research interests include Production Engineering and Stochastic Processes, with a focus on modeling decision support strategies under uncertainty. (Source: Lattes Curriculum)
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This research project deals with problems that appear in different industrial contexts. An important part of industrial production planning comprises solving the lot sizing problem, which consists of determining the decisions regarding the quantities of end products to be produced in each period over a planning horizon of finite and discrete time. In several manufacturing systems, the pro…
The lot sizing problem consists in determining the quantity of products to be produced in each period over a finite time horizon in order to meet a certain demand and optimize an objective function, such as minimizing costs. With the natural evolution of the industrial decisions process, several strategies have been used to improve the decisions made, making them more complex. Among these…
In some industries, decisions about the production activities needed to transform raw materials into final items in the most efficient way possible are closely related to decisions on the lots of final items that must be produced, and in this context, arises the lot sizing problem, which basically, consists of determining the production lot sizes (ie, quantities to be produced of each ite…
This research project focuses on industrial production planning problems that involve blending components to assemble end products, where the proportion of components used in the final composition can vary. The objective is to yield plans that minimize overall costs of blending components to meet external demand of end products. The plans also need to consider capacity time constraints an…
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